Using Digital Image Correlation (DIC) method to monitor the creeping indication and infer the geometry of landslides
- 1Department of Earth Sciences, National Cheng Kung University, Tainan 70101, Taiwan (kuo1195@gmail.com)
- 2National Science and Technology Center for Disaster Reduction, New Taipei City 23143, Taiwan
Monitoring the creeping indications of landslides could provide valuable information for hazard prevention. The DIC methods allow to measure horizontal ground deformation with optical images. The surface moving information of landslide could offer the necessary data to infer the geometry including landslide sliding surface and volume of landslides.
This study focuses on a deep-seated landslide in Guanghua area which has been creeping since 2006 in northern Taiwan and there were sporadic collapse events in this slope area during recent years. The satellite images from 2016 to 2022 were collected and applied in Sliding Time Master Digital Image Correlation Analyses (STMDA) procedure to obtain the surface deformation of the landslide. The results including surface displacement and moving direction highly coincided with other monitoring data from on-site instruments. The landslide depth derived from surface displacements is about 20 m. The achievements reveal that using DIC method help to understand the landslide creeping process and the geometry distribution of potential landslide
How to cite: Kuo, H.-L., Lin, G.-W., Lin, T.-Y., and Chu, C.: Using Digital Image Correlation (DIC) method to monitor the creeping indication and infer the geometry of landslides, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12150, https://doi.org/10.5194/egusphere-egu23-12150, 2023.
